80% precision improvement using ML-based approach to lead buying
Delivered an ML-based approach to Lead Buying for a leading life insurance brokerage firm
Business Challenges
The client had a patented sales technology platform and a distinctive approach to generating and buying leads through branded, non-branded but owned, lead, and traffic vendors. They wanted to optimize the process of lead buying to improve marketing ROI.
Sigmoid Solution
Sigmoid mapped the entire lead journey and built multiple classifications, regression models, and an attribution model to calculate a lead’s propensity to buy a policy and estimated value for the lead. The score generated enables the client to make real-time decisions on their lead buying and servicing strategy to optimize their marketing ROI.
Business Impact
Our ML-based approach to lead buying delivered 80% precision improvement and a double-digit lift in revenue per marketing dollar.
Relevant Case Studies
Automating bidding process with 80,000+ coefficients
ML-based demand forecasting solution to improve forecast accuracy while reducing costs by 5x
